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NA Digest, V. 20, # 10

NA Digest Sunday, March 08, 2020 Volume 20 : Issue 10

Today's Editor:

Daniel M. Dunlavy
Sandia National Labs

Today's Topics: Subscribe, unsubscribe, change address, or for na-digest archives: http://www.netlib.org/na-digest-html/faq.html

Submissions for NA Digest:


From: Valeriya Naumova valeriya@simula.no
Date: March 03, 2020
Subject: Machine Learning Crash Course, Norway, May 2020


on May 25-29, 2020, at Simula Research Laboratory, Oslo


OVERVIEW: Machine Learning Crash Course (MLCC) is a 25-hour

introductory machine learning course, including theory classes,

practical laboratory sessions, and industrial workshop. MLCC 2020

covers foundational concepts and essential algorithms in Machine

Learning. This course is suitable for undergraduate/graduate

students, as well as professionals who are starting, or need to brush

up machine learning skills. MLCC, started in 2014 at University of

Genova, has seen an increasing national and international attendance

over the years with more than 150 participants in 2019. The course is

free of charge for students and postdocs. Registration is required.


April 03: Application deadline

April 15: Notification of acceptance

April 25: Registration fees due

Please send your inquiries to mlcc2020applications@gmail.com

From: Gerhard-Wilhelm Weber gerhard.weber@put.poznan.pl
Date: March 06, 2020
Subject: Extended deadline, EUROPT 2020, France, Jul 2020

The EUROPT 2020 Workshop, the annual event of the EUROPT Continuous

Optimization working group of EURO, will be held in Toulouse, France,

on July 1-3. It will bring together researchers from Europe and

around the globe for stimulating discussions on the latest

developments in continuous optimization.

We are pleased to announce the following deadline extensions:

- Abstract Submission: Extended to March 22, 2020

- Abstract Acceptance: Extended to April 5, 2020

- Registration deadline: Extended to May 6, 2020

Authors are invited to submit abstracts through the EURO submission

system at http://www.euro-online.org/conf/europt2020/

Informations on organised sessions are available at

http://europt2020.recherche.enac.fr/?page_id=19 Please contact the

organisers to contribute to the sessions.

Registration is open at


More detailed information about EUROPT 2020 are disseminated via the

website http://europt2020.recherche.enac.fr/.

From: Ilse Ipsen ipsen@ncsu.edu
Date: March 08, 2020
Subject: IMSM Graduate Student Workshop, USA, Jul 2020

The 26th Industrial Mathematical & Statistical Modeling (IMSM)

Workshop for Graduate Students will take place at North Carolina State

University in Raleigh, NC, between July 12-22, 2020. The workshop is

sponsored by the Statistical and Applied Mathematical Sciences

Institute (SAMSI) along with the Center for Research in Scientific

Computation (CRSC), and the Dept. of Mathematics at North Carolina

State University.

The IMSM workshop exposes graduate students in mathematics, statistics

and engineering to exciting real-world problems from industry and

government. The workshop provides students with experience in a

research team environment and exposure to possible career


Local expenses and travel support will be covered for graduate

students at US institutions that are admitted to the workshop. The

official application deadline is April 2, 2020, but full consideration

will be given to all applications received prior to April 15, 2020.

Further Information is available at: http://www.samsi.info/imsm-20

and questions can be directed to grad@samsi.info

From: FBP 2020 organisers fbp2020@wias-berlin.de
Date: March 03, 2020
Subject: Free Boundary Problems, Germany, Aug-Sep 2020

We are pleased to announce that registration and the call for

contributions is now open for the 15th International Conference on

Free Boundary Problems: Theory and Applications 2020 (FBP 2020). The

conference will take place on the Mitte campus of the Humboldt

University (HU) of Berlin, August 31st to September 4th, 2020.

Full details can be found at https://fbp2020.de

The FBP conference is a flagship event that brings together the free

boundary/partial differential equation community and is organized

every few years with the most recent occurrences in Shanghai (China,

2017) and Cambridge (UK, 2014) after the historical beginnings of the

conference series in Montecatini (Italy, 1981). FBP 2020 is hosted by

the Weierstrass Institute for Applied Analysis and Stochastics (WIAS)

Berlin. The conference will include plenary talks, invited

mini-symposia, and contributed sessions.

From: Gabriele Ciaramella gabriele.ciaramella@uni-konstanz.de
Date: March 06, 2020
Subject: Summer School, Advanced Domain Decomposition Methods, Germany, Sep 2020

We are pleased to announce the Summer School on Advanced Domain

Decomposition Methods, in Konstanz, Germany.

The goal of this summer school is to introduce basic and advanced

domain decomposition methods to researchers interested in

understanding these methods, and to give them detailed insight on how

these methods reduce various error components and are used in

practice. The course will cover domain decomposition methods for

various problems ranging from classical stationary partial

differential equations (PDEs) to time-dependent problems, passing

through PDEs with high-contrast coefficients, heterogeneous problems

and PDE-constrained optimization problems.

The school is suitable for young mathematitians (PhD students and

highly motivated Master Students), who wish to either get in touch

with domain decomposition methods, as well as young researchers and

Post-doc who desire to strengthen and broaden their knowledge on

advanced domain decomposition techniques.

The summer school will be held in September 21-25, 2020 at the

University of Konstanz and is free of fees. Scholarships for travel

and/or local costs are available for excellent young researchers upon


For more info please visit the website:


From: Montaz Ali montaz.ali@wits.ac.za
Date: March 07, 2020
Subject: Senior Lecturer/Associate Professor Position, Numerical Analysis


School of Computer Science and Applied Mathematics, SENIOR


Description: The School of Computer Science and Applied Mathematics

undertakes high-quality research in a wide variety of areas and is

home to several NRF rated scientists. In the domain of Applied

Mathematics the School's main research areas include symmetry methods

of differential equations, mathematical modelling, control theory,

optimization, numerical analysis and fluid mechanics. Furthermore,

research areas are in mathematics of finance, which include but are

not limited to portfolio optimization, risk management, risk

measurement, stochastic processes in finance and interest rate

modelling. We seek applicants with research and teaching experience in

the area of numerical analysis and optimization/optimal control.

Qualifications: For Senior Lecturer: Applicants must hold a doctorate

in numerical analysis. The applicant must have teaching experience at

a tertiary institution, particularly numerical analysis. Furthermore,

applicants must work in the area of optimization/optimal control. The

following factors will be taken into account: (i) evidence of

potential research in the area of numerical analysis, and

optimization/optimal control and supervision of postgraduate students,

research interests of the applicant must fit into the school

directions, (ii) teaching experience, and (iii) academic citizenship

(University administration). For Associate Professor: Applicants must

hold a doctorate in numerical analysis and have a minimum of five

years teaching experience at a tertiary institution, particularly

numerical analysis. Furthermore, applicants must work in the area of

Optimization/Optimal Control. The applicant research interest and

directions beyond PhD studies must be in the area of numerical

analysis. The following will be taken into account: (i) the applicant

must also be working in optimization/optimal control field of

study. Furthermore, the incumbent must have a sustained research

record and publications in recognised journal and or scholarly

books. Further, evidence of postgraduate supervision is necessary,

(iv) teaching experience, and (iii) academic citizenship (University

administration). A South African National Research Foundation rating

is advantageous (if available).

To apply: External applicants are invited to apply by registering

their profile on the Wits i-Recruitment platform located at

https://irec.wits.ac.za and submitting applications. Internal

employees are invited to apply directly on Oracle by following the

path: iWits/SelfService application/'Apply for a job'. Correspondence

will be entered into with short-listed candidates only. Short-listed

applicants must be available for a personal or telephonic/Skype

interview, and the presentation of a short seminar on the proposed

line of research may be required.

Closing date: 31 March 2020

From: Klemens Fellner klemens.fellner@uni-graz.at
Date: March 04, 2020
Subject: University Assistant Position, Mathematics, Graz, Austria

Institute of Mathematics and Scientific Computing is filling an

University Assistant with doctorate (40 hours a week; fixed-term

employment for the period of 6 years; position to be filled as of

September 1st 2020)

For more information follow the link:


In case of equal qualifications, women will receive priority


From: Travis Askham askham@njit.edu
Date: March 04, 2020
Subject: Postdoc Position, Computational Waves, NJIT

Applications are invited for a postdoctoral position in the field of

computational wave propagation and scattering in the Department of

Mathematical Sciences at the New Jersey Institute of Technology. The

position is initially for one year, with the option to renew for one

final additional year, subject to satisfactory performance. The start

date is September 1, 2020, or earlier. Inquiries may be sent to

Professor Eliza Michalopoulou at michalop@njit.edu. Applications will

only be accepted through jobs.njit.edu; applications sent by email

will not be considered. The position will be open until filled.

Essential functions including conducting independent research as well

as collaborating with the wave propagation research group within the

Department of Mathematical Sciences.

Candidates should hold a recent Ph.D. in Mathematics or related field

with a research background in computational integral equations and/or

partial differential equations for elliptic and hyperbolic wave

problems. Experience in High Performance Computing for applications is


Original ad: https://www.mathjobs.org/jobs/jobs/15719

Please apply at


From: Hemant Tyagi hemant.tyagi@inria.fr
Date: March 05, 2020
Subject: Postdoc Position, Inria Lille

There is a postdoc available (for 18 months) in the area of "Large

scale inverse problems on graphs" at Inria Lille (MODAL team). The

position is open until filled, but all applications received before

30th March will be given full consideration. The starting date is 1st

July 2020.

More details about the position are available here:


Interested candidates should send me an email (hemant.tyagi@inria.fr)

with their CV but it is eventually necessary to apply formally on the

Inria job portal with all requested documents:


From: Sherry Li xsli@lbl.gov
Date: March 05, 2020
Subject: Postdoc Position, Lawrence Berkeley Lab

Berkeley Lab's Scalable Solvers Group in the Computational Research

Division has two immediate openings of postdoctoral position in the

areas of exascale computing and machine learning. The projects

involve the development of next-generation fast linear algebra

algorithms for large scale simulations and machine learning

applications, and the development of new statistical and machine

learning algorithms for performance autotuning of HPC codes. The

candidates will implement the new algorithms on emerging

supercomputers with GPU accelerators.

Please follow the link below to see more details and to apply online:


From: Gerlind Plonka-Hoch plonka@math.uni-goettingen.de
Date: March 04, 2020
Subject: Postdoc and PhD Positions, Univ of Goettingen

The Research Training Group RTG 2088 "Discovering Structure in Complex

Data" at the Georg- August-University Gottingen offers positions for

one Ph.D. candidate and one PostDoc beginning a soon as possible. The

salary is in accordance with the German public service salary scale

(E13 TV-L) with 75 % of the regular working hours (currently 29.85

hours per week) for up to three years for the PhD candidates and 100 %

(E13 TVL) for three years for the PostDoc.

The research projects in this RTG focus on new mathematical concepts

in statistics, optimization, and inverse problems.

Detailed information for the PhD position can be found at


and for the PostDoc position at


From: Michael Hinze hinze@uni-koblenz.de
Date: March 06, 2020
Subject: PhD or Postdoc Position, Fluid mechanic shape optimization, Koblenz Univ

The Modeling, Simulation, and Optimization of Complex Systems Group of

Michael Hinze at the University Koblenz-Landau is inviting

applications for a research position in Shape Optimization with Phase

Field Models. The position is subject to the German law on fixed-term

contracts in science (WissZeitVG). The position can be filled

immediately and is limited to three years for doctoral students with

salary according to 0,75 EGr 13 TV-L, and to two years for

postdoctoral researchers according to a full salary EGr. 13 TV-L. The

successful candidate will work in the Modeling, Simulation, and

Optimization of Complex Systems Group of the University


Topic: This project is part of the Priority Programme 1962 of the

German Research Foundation and aims at introducing, analyzing and

numerically realizing well-posed formulations of shape optimization

problems with instationary fluid flow. This will be achieved by

utilizing a phase-field ansatz and associated non-smooth homogeneous

free energy densities, which yield robust numerical approximations

and, for the sake of efficient computations, admit several levels of

model reduction ranging from adaptive meshing to proper orthogonal

decomposition. Moreover, a Darcy-type approach allows to

simultaneously optimize the topology of the fluid domain. This is a

joint project with the research group of Professor Hintermuller

located in Berlin at the Weierstrass Institute for Applied Analysis

and Stochastics. Both groups enjoy a history of successful

collaboration on other projects relating to optimization subject to

fluid flow.

Requirements: The successful candidate requires a master degree in

Applied Mathematics, Mechanical Engineering or Computational Physics,

ideally with a strong background in numerical methods for PDEs and

nonlinear programming, as well as experience in numerical fluid

mechanics. Fluency in both written and spoken English and the ability

to work in an interdisciplinary team are mandatory. Additional

knowledge in modern scientific programming is desired. Very strong

problem-solving skills, willingness to learn, ability to work

independently, experience/willingness in writing publications and good

presentation skills are essential. Please contact Prof. Dr. Michael

Hinze (phone: +49 (0)261/287-2310 or e-mail: hinze@uni-koblenz.de) for

further information.

It is the policy of the University Koblenz-Landau to increase the

percentage of female employees. If equally qualified, preference will

be given to female applicants in fields where they are

underrepresented. Disabled candidates are given priority, if equally

qualified. International candidates are highly encouraged to apply.

Applications should include a letter of motivation, complete

curriculum vitae with a list of publications and presentations,

certificates etc. Please send your application, quoting the reference

number Ko 46/2019, before April 1st, 2020 by e-mail in a single PDF

file to bewerbung-K21@uni-koblenz.de. Applications are accepted until

the position is filled. We do not send a confirmation of receipt. In

accordance to the protection of data privacy all documents will be

destroyed after the application procedure.

From: Bernard Haasdonk haasdonk@mathematik.uni-stuttgart.de
Date: March 06, 2020
Subject: PhD/Postdoc positions, MOR/ML, Univ of Stuttgart, Germany

I want to announce several PhD/Postdoc position openings in my group

at the University of Stuttgart. All positions are related to

surrogate modelling with model reduction or machine learning

techniques. The positions are to be filled as soon as possible. The

call for applications can be found at


The application deadline is March 29, 2020. Please forward this

message to potential candidates.

From: Kim Knudsen kiknu@dtu.dk
Date: March 06, 2020
Subject: PhD Position, Computational UQ for Hybrid Inverse Problems, DTU

We are looking for a talented PhD student that can help us understand,

how uncertainty can be modelled and quantified for Hybrid Inverse

Problems such as photo-acoustic or acousto-electric tomography.

The successful candidate will be hired and enrolled at DTU

Compute. The project is associated with the research initiative CUQI

financed by the Villum Foundation, and in collaboration with the

Department of Applied Physics at the University of Eastern Finland,

Kuopio Campus.

Applications must be submitted ONLINE by May 1, 2020. See the full

call at



For further information, please contact Kim Knudsen (kiknu@dtu.dk).

From: Ricardo Ruiz Baier ricardo.ruizbaier@monash.edu
Date: March 03, 2020
Subject: PhD Position, Numerical Analysis, Monash Univ

A PhD thesis is available to work on the design, analysis, and

implementation of new mixed finite element methods for interface

problems involving fluid-structure interaction in porous composite


We are looking for candidates with academic excellence as well as

having motivated to work on applied problems using sophisticate

numerical methods for nonlinear and coupled PDEs. Applicants must have

A Master degree (or equivalent) in mathematics, engineering,

scientific computing, or related disciplines; A solid background in

PDEs and mathematical aspects of finite element methods; Some

programming experience using, e.g., Python or C++; Provable strong

oral and written communication skills in English.

The School has a large, diverse, and vibrant research community of

academic staff and postgraduate students. It is a world-class centre

for research in diverse areas of mathematical sciences. The School

hosts a large and dynamic postgraduate community with students drawn

from a wide range of nationalities and backgrounds. This creates a

productive scientific environment as well as an active social

atmosphere. Plus, Melbourne is a fantastic city to live in!

Postgraduate students in the School are researching into topics that

cover the entire spectrum of mathematics, and all PhD students will

participate in the Monash Doctoral Program designed to prepare

graduates with the skills and capabilities sought by employers.

For further information, see






Candidates are invited to contact pg.enquiries@monash.edu, providing

their academic record, to know whether they satisfy the 1st class

honours equivalence (which is a requirement for eligibility at

Monash). Informal inquiries can be then forwarded to A/Prof Ricardo

Ruiz Baier with the subject "Inquiries - PhD Interfaces", and the

application process requires to include a motivation letter, and a CV

with detailed academic record and two references.

From: Hayato Ushijima-Mwesigwa hayato@us.fujitsu.com
Date: March 04, 2020
Subject: Research Intern Position, Fujitsu Labs of America

Location: Sunnyvale, CA, USA

Duration: 3-4 months. The starting date is negotiable

Position: Full-time, Paid

Fujitsu Laboratories of America (FLA) has an internship opening for a

graduate-level student. The research will involve elements of

mathematical optimization, algorithm design, and machine learning on

novel computing hardware. FLA is the U.S. R&D arm of Fujitsu, the

global information and communications technologies leader

headquartered in Japan.

A qualified candidate would possess: Research-level experience in at

least one of the following: Integer and Linear Programming;

Combinatorial Algorithm design; Linear Algebra; Graph libraries e.g

NetworkX, Boost etc; and Machine learning algorithms.

Students in M.S. and Ph.D. programs with relevant coursework or

research experience are invited to apply, and we are open to advanced

undergraduates who can demonstrate relevant experience.

Strong programming skills; Demonstrated ability to publish research in

peer-reviewed journals or conference proceedings; The ability to work

quickly and creatively. We believe in agile research; The ability to

digest various information sources, even those outside of your regular

area of expertise. Most of our projects are multi-disciplinary.

Excellent communication skills; fluency in written and spoken English

is required. The ability to work independently as part of a mutually

supportive team is crucial. We're looking for self-propelled

self-starters with excellent teamwork skills.

If this sounds like something you'd be good at, please send a recent

CV to hayato@us.fujitsu.com

End of Digest